2. logitnorm- Density, distribution, quantile and random generation function for the logitnormal distribution. Estimation of the mode and the first two moments. Estimation of distribution parameters. - Moved to https://github.com/bgctw/logitnorm

3. MPTinR- MPTinR provides a user-friendly way to fit Multinomial Processing Tree (MPT) and other cognitive models for categorical data. For any MPT model the FIA, a minimum description length based measure of model complexity, can be calculated for model selection.

5. Modelling Peaks Over Threshold- The project consists in developing functions for peaks over threshold modeling. Most of results come from the extreme value theory (EVT). The EVT is currently extensively used, mostly in environmental sciences and finance.

8. Rcpp - Seamless R and C++ Integration- The Rcpp package provides a C++ library which facilitates the integration of R and C++. R data types (SEXP) are matched to C++ objects in a class hierarchy. All R types are supported and each type is mapped to a dedicated class.

9. Circular Statistics- This is the circular package build over the R port of the CircStats package by Ulric Lund from 'Topics in circular Statistics' (2001) S. Rao Jammalamadaka and A. SenGupta, World Scientific.

12. Testing external pointers in C++- Testing external pointers with finalization in R using C++. Show how to create C++ objects with external pointers from R which are deleted automatically from R. After installing and loading the package in R, type help(testcpp) to get started.

14. ZooImage- ZooImage is a software (based on R and ImageJ) to analyze plankton samples, using image analysis and machine learning techniques. This is the old repository, please, look at https://github.com/SciViews/zooimage for latest version!

15. abind: Create multi-dimensional arrays- The abind package supports the use of multi-dimensional arrays. The function abind() is a multidimensional analog of rbind() and cbind(). adrop() and asub() allow arguments to specify dimensions to drop or subset.

16. SpatialExtremes- The SpatialExtremes package aims to develop tools for the modeling of spatial extremes. The knowledge of the univariate/multivariate distribution of extremes is not enough. This package will try to fill this gap.